Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures

@inproceedings{etin2016MultimodalCO,
  title={Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures},
  author={Mustafa S. Çetin and Jon M. Houck and Barnaly Rashid and Oktay Agacoglu and Julia M. Stephen and Jing Sui and Jos{\'e} M. Ca{\~n}ive and Andy Mayer and Cheryl J. Aine and Juan R. Bustillo and Vince D. Calhoun},
  booktitle={Front. Neurosci.},
  year={2016}
}
Mental disorders like schizophrenia are currently diagnosed by physicians/psychiatrists through clinical assessment and their evaluation of patient's self-reported experiences as the illness emerges. There is great interest in identifying biological markers of prognosis at the onset of illness, rather than relying on the evolution of symptoms across time. Functional network connectivity, which indicates a subject's overall level of "synchronicity" of activity between brain regions, demonstrates… CONTINUE READING
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Editor states that the process nevertheless met the standards of a fair and objective review

Cetin, Houck, +8 authors Calhoun
2016

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